2020
DOI: 10.1016/j.snb.2020.128254
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A dual-functional smartphone-based sensor for colorimetric and chemiluminescent detection: A case study for fluoride concentration mapping

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Cited by 47 publications
(21 citation statements)
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“…The combination of biosensors and smart devices can make them flexible and portable; capable of real-time, continuous, and rapid detection; and has unique advantages such as miniaturization, high sensitivity, and absence of tags (Yang and Gao, 2019;Xing et al, 2020). The introduction of smart devices has greatly improved microorganism detection and provided convenient data processing and transmission for demonstration purposes (Nasseri et al, 2018).…”
Section: Smart Device Linkagementioning
confidence: 99%
“…The combination of biosensors and smart devices can make them flexible and portable; capable of real-time, continuous, and rapid detection; and has unique advantages such as miniaturization, high sensitivity, and absence of tags (Yang and Gao, 2019;Xing et al, 2020). The introduction of smart devices has greatly improved microorganism detection and provided convenient data processing and transmission for demonstration purposes (Nasseri et al, 2018).…”
Section: Smart Device Linkagementioning
confidence: 99%
“…Instead of bulky and expensive methods such as spectrophotometer, which are widely used to detection of target biochemical analytes, easy to use, portable, and inexpensive smartphone-based methods offer great advantages [ 4 ] In this case, it is significant to develop easy-to-use and low-cost smartphone-based methods to detect H 2 O 2 with a high sensitivity and rapid detection at low concentration. In the last two decades, scientific studies focus on smartphone-based sensor technologies, which have great potential in studies for different purposes such as high-quality medical services, food control, diagnostic technologies, and environmental monitoring [ 5 7 ]. In particular, the use of smartphones as detectors has increased, which makes the detection method considerably practical and economical and facilitates its commercialization and spread in modern sensor technology.…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, cell phones can perform many operations previously only reserved for personal computers, also the use of Arduino can acquire data from sensors and transmit it to the cell phone by Bluetooth or USB-OTG. These platforms allow us to reduce the cost of equipment, make them portable, and can be coupled with industry 4.0 production methods to produce open-source collaborative platforms to boost the development of products. , Also, cloud processing allows performing image analysis and mapping of the water quality in geographical areas with the GPS information obtained from mobile devices. , Hussain et al reported a system based on Zr-SPANDS with a light-emitting diode (LED) as a light source, cell phone camera as a detector, and a detection limit of 0.0256 mg L –1 and a linear range from 0 to 3 mg L –1 . Xing et al reported a similar system with 0.06 mg L –1 limit of detection and 0.1–2 mg L –1 linear range . Even though the limit suggested by the World Health Organization (WHO) for fluoride in drinking water is 1.5 mg L –1 , countries like Tanzania established provisional levels of 4 mg L –1 , and even the Environmental Protection Agency (US-EPA) determined an enforcement maximum fluoride concentration in drinking water of 4 mg L –1 and a secondary maximum fluoride level of 2 mg L –1 . …”
mentioning
confidence: 99%
“…13,14 Also, cloud processing allows performing image analysis and mapping of the water quality in geographical areas with the GPS information obtained from mobile devices. 15,16 Hussain et al reported a system based on Zr-SPANDS with a light-emitting diode (LED) as a light source, cell phone camera as a detector, and a detection limit of 0.0256 mg L −1 and a linear range from 0 to 3 mg L −1 . 17 Xing et al reported a similar system with 0.06 mg L −1 limit of detection and 0.1−2 mg L −1 linear range.…”
mentioning
confidence: 99%
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